iPhone SE (2nd generation)
Geekbench AI Score
828
Single Precision Score
2916
Half Precision Score
579
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | JC_Coronel |
| Upload Date | December 09 2024 06:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone SE (2nd generation) |
| Model ID | iPhone12,8 |
| Motherboard | D79AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
515
95.7 IPS |
|
|
Image Classification (HP)
|
100% |
2735
508.7 IPS |
|
|
Image Classification (Q)
|
97% |
256
47.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (Q)
|
99% |
233
3.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
2076
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
24416
28.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
2667
3.13 IPS |
|
|
Object Detection (SP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (HP)
|
100% |
2327
184.6 IPS |
|
|
Object Detection (Q)
|
94% |
228
18.2 IPS |
|
|
Face Detection (SP)
|
100% |
758
9.01 IPS |
|
|
Face Detection (HP)
|
100% |
5480
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
301
3.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1266
9.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
18292
140.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
831
6.49 IPS |
|
|
Style Transfer (SP)
|
100% |
3479
4.47 IPS |
|
|
Style Transfer (HP)
|
100% |
7585
9.75 IPS |
|
|
Style Transfer (Q)
|
96% |
3518
4.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
984
36.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3057
112.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
486
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
566
755.0 IPS |
|
|
Text Classification (HP)
|
100% |
440
586.8 IPS |
|
|
Text Classification (Q)
|
93% |
398
534.0 IPS |
|
|
Machine Translation (SP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
696
12.0 IPS |
